The paper discusses the problem of adaptive management of mobile resources using couriers as an example. To solve the problem, an advancement is proposed from traditional combinatorial and heuristic algorithms to multi-agent models and methods that adaptively solve conflicts within schedules. In the proposed approach, solving the scheduling problem is self-organized through the cooperation and competition of software agents of the system representing orders and resources on the virtual market. This process stops when the state of “competitive equilibrium” (consensus) is achieved, i.e., when none of the agents can further improve the results. The proposed multi-agent method is used to solve the problem of managing mobile resources. At the same time, it is suggested to customize the system for the customers’ business specifics using ontologies and ontological models of enterprises. The main result of applying the developed models and methods is an increase in the efficiency of mobile resources via adaptive planning and fast return of investments. The results obtained and prospects for further development are discussed.